{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 用ARMA进行时间序列预测\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.tsa.arima_model import ARMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建数据\n",
    "data = [3821, 4236, 3758, 6783, 4664, 2589, 2538, 3542, 4626, 5886, 6233, 4199, 3561, 2335, 5636, 3524, \n",
    "4327, 6064, 3912, 1356, 4305, 4379, 4592, 4233, 4281, 1613, 1233, 4514, 3431, 2159, 2322, 4239, 4733, \n",
    "2268, 5397, 5821, 6115, 6631, 6474, 4134, 2728, 5753, 7130, 7860, 6991, 7499, 5301, 2808, 6755, 6658, \n",
    "6944, 6372, 8380, 7366, 6352, 8333, 8281, 11548, 10823, 13642, 9973, 6723, 13416, 12205, 13942, 9590, \n",
    "11693, 9276, 6519, 6863, 8237, 10122, 8646, 9749, 5346, 4836, 9806, 7502, 9387, 11078, 9832, 6886, 4285, \n",
    "8351, 9725, 11844, 12387, 10666, 7072, 6429]\n",
    "type(data)#先造数据 然后放进Series里面"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      3821\n",
       "1      4236\n",
       "2      3758\n",
       "3      6783\n",
       "4      4664\n",
       "      ...  \n",
       "85    11844\n",
       "86    12387\n",
       "87    10666\n",
       "88     7072\n",
       "89     6429\n",
       "Length: 90, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.Series(data)\n",
    "data#一共是90个数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[datetime.datetime(1901, 12, 31, 0, 0), datetime.datetime(1902, 12, 31, 0, 0), datetime.datetime(1903, 12, 31, 0, 0), datetime.datetime(1904, 12, 31, 0, 0), datetime.datetime(1905, 12, 31, 0, 0), datetime.datetime(1906, 12, 31, 0, 0), datetime.datetime(1907, 12, 31, 0, 0), datetime.datetime(1908, 12, 31, 0, 0), datetime.datetime(1909, 12, 31, 0, 0), datetime.datetime(1910, 12, 31, 0, 0), datetime.datetime(1911, 12, 31, 0, 0), datetime.datetime(1912, 12, 31, 0, 0), datetime.datetime(1913, 12, 31, 0, 0), datetime.datetime(1914, 12, 31, 0, 0), datetime.datetime(1915, 12, 31, 0, 0), datetime.datetime(1916, 12, 31, 0, 0), datetime.datetime(1917, 12, 31, 0, 0), datetime.datetime(1918, 12, 31, 0, 0), datetime.datetime(1919, 12, 31, 0, 0), datetime.datetime(1920, 12, 31, 0, 0), datetime.datetime(1921, 12, 31, 0, 0), datetime.datetime(1922, 12, 31, 0, 0), datetime.datetime(1923, 12, 31, 0, 0), datetime.datetime(1924, 12, 31, 0, 0), datetime.datetime(1925, 12, 31, 0, 0), datetime.datetime(1926, 12, 31, 0, 0), datetime.datetime(1927, 12, 31, 0, 0), datetime.datetime(1928, 12, 31, 0, 0), datetime.datetime(1929, 12, 31, 0, 0), datetime.datetime(1930, 12, 31, 0, 0), datetime.datetime(1931, 12, 31, 0, 0), datetime.datetime(1932, 12, 31, 0, 0), datetime.datetime(1933, 12, 31, 0, 0), datetime.datetime(1934, 12, 31, 0, 0), datetime.datetime(1935, 12, 31, 0, 0), datetime.datetime(1936, 12, 31, 0, 0), datetime.datetime(1937, 12, 31, 0, 0), datetime.datetime(1938, 12, 31, 0, 0), datetime.datetime(1939, 12, 31, 0, 0), datetime.datetime(1940, 12, 31, 0, 0), datetime.datetime(1941, 12, 31, 0, 0), datetime.datetime(1942, 12, 31, 0, 0), datetime.datetime(1943, 12, 31, 0, 0), datetime.datetime(1944, 12, 31, 0, 0), datetime.datetime(1945, 12, 31, 0, 0), datetime.datetime(1946, 12, 31, 0, 0), datetime.datetime(1947, 12, 31, 0, 0), datetime.datetime(1948, 12, 31, 0, 0), datetime.datetime(1949, 12, 31, 0, 0), datetime.datetime(1950, 12, 31, 0, 0), datetime.datetime(1951, 12, 31, 0, 0), datetime.datetime(1952, 12, 31, 0, 0), datetime.datetime(1953, 12, 31, 0, 0), datetime.datetime(1954, 12, 31, 0, 0), datetime.datetime(1955, 12, 31, 0, 0), datetime.datetime(1956, 12, 31, 0, 0), datetime.datetime(1957, 12, 31, 0, 0), datetime.datetime(1958, 12, 31, 0, 0), datetime.datetime(1959, 12, 31, 0, 0), datetime.datetime(1960, 12, 31, 0, 0), datetime.datetime(1961, 12, 31, 0, 0), datetime.datetime(1962, 12, 31, 0, 0), datetime.datetime(1963, 12, 31, 0, 0), datetime.datetime(1964, 12, 31, 0, 0), datetime.datetime(1965, 12, 31, 0, 0), datetime.datetime(1966, 12, 31, 0, 0), datetime.datetime(1967, 12, 31, 0, 0), datetime.datetime(1968, 12, 31, 0, 0), datetime.datetime(1969, 12, 31, 0, 0), datetime.datetime(1970, 12, 31, 0, 0), datetime.datetime(1971, 12, 31, 0, 0), datetime.datetime(1972, 12, 31, 0, 0), datetime.datetime(1973, 12, 31, 0, 0), datetime.datetime(1974, 12, 31, 0, 0), datetime.datetime(1975, 12, 31, 0, 0), datetime.datetime(1976, 12, 31, 0, 0), datetime.datetime(1977, 12, 31, 0, 0), datetime.datetime(1978, 12, 31, 0, 0), datetime.datetime(1979, 12, 31, 0, 0), datetime.datetime(1980, 12, 31, 0, 0), datetime.datetime(1981, 12, 31, 0, 0), datetime.datetime(1982, 12, 31, 0, 0), datetime.datetime(1983, 12, 31, 0, 0), datetime.datetime(1984, 12, 31, 0, 0), datetime.datetime(1985, 12, 31, 0, 0), datetime.datetime(1986, 12, 31, 0, 0), datetime.datetime(1987, 12, 31, 0, 0), datetime.datetime(1988, 12, 31, 0, 0), datetime.datetime(1989, 12, 31, 0, 0), datetime.datetime(1990, 12, 31, 0, 0)] <class 'list'>\n"
     ]
    }
   ],
   "source": [
    "data_index = sm.tsa.datetools.dates_from_range('1901','1990')#用sm工具造出时间 从01-90工90个时间\n",
    "print(data_index,type(data_index))#时间造出来了 组成了一个list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1901-12-31     3821\n",
       "1902-12-31     4236\n",
       "1903-12-31     3758\n",
       "1904-12-31     6783\n",
       "1905-12-31     4664\n",
       "              ...  \n",
       "1986-12-31    11844\n",
       "1987-12-31    12387\n",
       "1988-12-31    10666\n",
       "1989-12-31     7072\n",
       "1990-12-31     6429\n",
       "Length: 90, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.index = pd.Index(data_index)#然后把造好的这个列表给原来的那个series当索引\n",
    "data#这就是时间数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#数据可视化一下\n",
    "data.plot(figsize=(12,8))\n",
    "plt.show()#这样数据随时间变化的趋势就很直观了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/statsmodels/tsa/base/tsa_model.py:162: ValueWarning: No frequency information was provided, so inferred frequency A-DEC will be used.\n",
      "  % freq, ValueWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<statsmodels.tsa.arima_model.ARMAResultsWrapper at 0x7f33f96c1c10>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建ARMA模型# 创建ARMA模型\n",
    "arma = ARMA(data,(7,0)).fit()#(7,0)分别代表AR和MA的阶数  一个是7 一个是0\n",
    "arma#模型就创建和拟合好了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AIC: 1615.9965\n"
     ]
    }
   ],
   "source": [
    "#看看模型的效果 以AIC这个指标为衡量  越小越好\n",
    "print('AIC: %0.4lf' %arma.aic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1990-12-31     6155.726034\n",
       "1991-12-31     7753.173456\n",
       "1992-12-31     8995.863461\n",
       "1993-12-31    10222.701720\n",
       "1994-12-31    10674.233879\n",
       "1995-12-31     9977.842634\n",
       "1996-12-31     8307.449649\n",
       "1997-12-31     7473.287004\n",
       "1998-12-31     7797.564182\n",
       "1999-12-31     8521.578980\n",
       "2000-12-31     9274.093440\n",
       "Freq: A-DEC, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#模型预测一下\n",
    "predict_y = arma.predict('1990', '2000')\n",
    "predict_y#上面是1900-1990  现在预测出来了1990-2000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 预测结果绘制\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ax = data.loc['1901':].plot(ax=ax)\n",
    "predict_y.plot(ax=ax)\n",
    "plt.show()#把之前的1901-1990的data和预测出来的1990-2000的data画在了一张图上 "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
